screening-manager

📁 willoscar/research-units-pipeline-skills 📅 Jan 23, 2026
15
总安装量
13
周安装量
#22638
全站排名
安装命令
npx skills add https://github.com/willoscar/research-units-pipeline-skills --skill screening-manager

Agent 安装分布

claude-code 10
gemini-cli 9
codex 7
cursor 7
antigravity 6

Skill 文档

Screening Manager (title/abstract screening)

Goal: produce an auditable screening log that can be traced back to the protocol.

Inputs

Required:

  • output/PROTOCOL.md

Optional candidate pools (choose one if available):

  • papers/papers_raw.jsonl
  • papers/papers_dedup.jsonl
  • papers/core_set.csv

Outputs

  • papers/screening_log.csv

Output schema (recommended)

Columns (minimum viable):

  • paper_id
  • title
  • year
  • url
  • decision (include|exclude)
  • reason (short, protocol-grounded)
  • reviewer (HUMAN|CODEX)
  • decided_at (ISO date/time)
  • notes (optional)

Workflow

  1. Read output/PROTOCOL.md and extract:

    • inclusion criteria
    • exclusion criteria
    • time window
    • any mandatory outcomes/metrics
  2. Choose a candidate list

    • If a papers/*.jsonl or papers/core_set.csv exists, use it as the row source.
    • Otherwise, ask the user for the candidate list format and load it into the workspace first.
  3. Screen each candidate deterministically

    • Decide include only when the title/abstract clearly satisfies inclusion and does not trigger exclusion.
    • If information is insufficient, decide exclude and state the missing requirement explicitly in reason.
  4. Write papers/screening_log.csv

    • One row per candidate.
    • Reasons must map to protocol clauses (avoid generic “not relevant”).
  5. Quick QA

    • Check every row has decision + reason.
    • Spot-check that include rows satisfy the protocol.

Definition of Done

  • papers/screening_log.csv exists and covers all candidates.
  • Every row has a decision + protocol-grounded reason.

Troubleshooting

Issue: you do not have a candidate pool file

Fix:

  • Import/export the candidate list into one of: papers/papers_raw.jsonl, papers/papers_dedup.jsonl, or papers/core_set.csv, then rerun screening.

Issue: too many borderline cases

Fix:

  • Tighten output/PROTOCOL.md with more operational inclusion/exclusion rules (then re-screen for consistency).